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Now Hiring Director of Engineering

The Town of La Plata is seeking a dynamic and forward-thinking Director of Engineering to lead our Engineering team and guide our Capital Improvement Program. If you are passionate about community infrastructure and want to help shape the future of our Town, we invite you to apply.

What You Will Do

• Lead planning and delivery of major Town infrastructure projects
• Oversee design reviews, technical standards, and regulatory compliance
• Manage consultants, contractors, and project budgets
• Collaborate with departments, residents, developers, and regional partners
• Support long-term planning, grants, and special projects

What We Are Looking For

• Degree in civil or related engineering field
• Experience in municipal engineering and capital project delivery
• Leadership experience guiding teams or consultants
• Professional Engineer license preferred, or the ability to get one during the first year

Commitment to Accessibility

The Town of La Plata is an equal opportunity employer and welcomes applicants of all backgrounds. If you need an accommodation during the application process, please contact Human Resources. Reasonable accommodations will be provided consistent with the Americans with Disabilities Act.

Apply Today

Visit our employment page for all the details and to apply:

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About Field AI

Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

Learn more at

About the Role

As a 3D Machine Learning Engineer , you will focus on designing, implementing, training, and maintaining cutting-edge 3D and multimodal machine learning models that process reality capture data such as 3D point clouds, 360 photos, and RGBD images. Your work will directly contribute to automated progress tracking, deviation analysis, and semantic scene understanding of construction sites. You will collaborate closely with software, autonomy, and product teams to ensure seamless integration of these AI models into our production environments.

What You’ll Do

• Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding
• Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2)
• Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines
• Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM)
• Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization

What You Have

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field
• 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks
• Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning
• Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar
• Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing
• Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows
• Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production
• Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams

The Extras That Set You Apart

• Experience working with BIM data, digital twins, or construction-related sensor data
• Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations
• Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow
• Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning
• Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks)
• Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D
• Experience building custom modules for SparseConvNet or 3D transformers

Compensation and Benefits

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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A leading engineering firm in Miami is looking for an experienced Electrical Commissioning Engineer. The role involves supporting electrical aspects of commissioning projects, ensuring safety compliance, and managing vendor coordination. Candidates must have a Bachelor’s degree and a minimum of five to seven years of relevant experience. Competitive compensation and extensive benefits are provided, including up to 15% retirement contribution and 24 days of PTO. Travel may be required at 75%.
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A recognized engineering firm is seeking a Mechanical Engineering Manager - Healthcare in Illinois or Missouri. This role includes leading healthcare projects, managing a mechanical engineering team, and ensuring high-quality designs. Candidates should have a Bachelor's degree in Mechanical Engineering, a PE license, and significant healthcare project experience. This position offers a salary ranging from $120,000 to $171,000 and comes with extensive benefits, including a hybrid work program.
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We’re looking for a Head of Production to run day-to-day on the fabrication floor. This person keeps the shop organized, the team aligned, and the work moving — deciding the right way to build things and ensuring the team executes consistently and efficiently.

You’ll own the micro-level tasking and daily triage : assigning work, sorting priorities, coordinating people, and keeping every station productive. You’ll work closely with leadership in a tight two-way communication loop.

This role is hands-on, people-driven, and technical. You should be someone who can lead by example, set the tone on the floor, and jump in on key fabrication work when needed.

Compensation: $72,000 - $90,000 yearly

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A pioneering stealth-stage AI company is seeking a Founding ML Engineer to lead investigations into model behavior and failure modes. This high-impact role involves collaborating with medical imaging vendors and hospitals, delivering key evidence for FDA submissions. The ideal candidate will combine hands-on ML skills with strong customer-facing judgment, contributing to a transformative healthcare AI infrastructure. Competitive compensation includes a salary of $170k - $250k plus early-stage equity.
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K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by $450M from leading investors including Altimeter Capital, Redpoint Ventures, T. Rowe Price, Lightspeed Venture Partners, Alpine Space Ventures, and others – with an additional $500M in signed contracts across commercial and US government customers – we’re mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space.

The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today’s and tomorrow’s massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits.

With multiple launches planned through 2026 and 2027, we're Building Bigger to develop the solar system and become a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a groundbreaking Series C space startup, we’d love for you to apply.

The Role

You will own the success of the mechanical structures and mechanisms that will be key to our satellite operation. In your first 6 months, you will define mechanical requirements, create initial concepts and trades, perform preliminary and detailed analysis, define development test campaigns, trade and select any purchased electromechanical subsystems, and produce development hardware. In your first year, you will validate your designs through prototype iterations and build and qualify flight hardware. In your first two years you will fly your hardware in space while directly supporting production and integration.

Responsibilities

• Take hardware and mechanisms from conceptual design through qualification to on-orbit operations in order to support internal and external customer needs
• Lead design reviews from kickoff through qualification and beyond
• Drive hardware development, including hands‑on development testing, analysis correlation, and follow‑on hardware iterations
• Perform hardware trades that steer both sub‑system and top‑level product direction
• Collaborate with a cross‑functional team to establish product requirements, company processes, and best practices for hardware design and manufacturing
• Continually own and refine system deliverables and associated schedules throughout development and production

Qualifications

• Bachelor’s degree in mechanical, aerospace, or other relevant engineering discipline
• 10+ years of experience with mechanical and/or electromechanical design and analysis
• Experience with CAD or FEA software packages
• Experience with the practical application of GD&T
• Demonstrated proficiency in the principles of mechanical design, materials, thermodynamics, and fluids
• Demonstrated ability to personally design, build, and test hardware from a blank canvas, including troubleshooting and iterating designs based on downstream feedback

Nice to Have

• Experience designing, building, and testing moving mechanical assemblies for aerospace applications (satellite mechanical systems, payloads, launch vehicles, propulsion systems, and/or aircraft structures and mechanisms)
• Experience with NASA-STD-5017, SMC-S-016, and GSFC-STD-7000 for the design and qualification of in‑space Moving Mechanism Assemblies
• Demonstrated ability to own mechanical hardware or systems within an integrated engineering team outside a classroom setting
• Demonstrated understanding of structural analysis and failure modes of complex mechanical systems in space environments and operations
• Independent and self‑motivated mindset, with strong organizational, written, and oral communication skills

Compensation And Benefits

• Base salary range for this role is $185,000 – $200,000 + equity in the company
• Salary and level will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks

If you don’t meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non‑traditional career twists and turns are encouraged!

If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

Export Compliance

As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.” The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a “U.S. person” as defined by 22 C.F.R.

• 120.15 or otherwise eligible for a federally issued export control license.

Equal Opportunity

K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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Overview

OXMAN is a nature-based research and design company based in Manhattan. We incubate nature-centric ventures that address critical challenges at the intersection of Nature and Humanity. Working across sectors, OXMAN fosters innovation that reimagines the relationship between the built environment and the natural world.

EDEN Initiative

EDEN is OXMAN’s applied ecological systems initiative operating at architectural, urban, and landscape scales. We are pioneering a digital design environment for engineering biodiverse, resilient ecosystems by developing software that enables designers and engineers to integrate ecosystem services—including carbon sequestration, thermal buffering, and biodiversity—into master planning and design. Our tools aim to transform ecosystem services from undervalued byproducts into essential infrastructure. While we test and refine the platform through client projects in master planning, architecture, and landscape architecture, our core mission is to build a powerful, adaptable system for designing productive, regenerative environments. We are looking for talented individuals to join us in shaping the future of nature-centric design.

Machine Learning Research Engineer

EDEN is seeking a Machine Learning Research Engineer to join our interdisciplinary design team in New York City to support our mission of delivering stellar, data-driven design proposals that leverage EDEN’s unique suite of ecosystem engineering tools.

Key Responsibilities

• Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging geospatial AI to synthesize environmental data into actionable parameters for ecosystem design and simulation.
• Develop and refine advanced deep generative models and reinforcement learning algorithms for built-environment design.
• Contribute to decision-making frameworks that combine procedural generation with ML and data-driven optimization.
• Collaborate with computational ecologists and data scientists to integrate generative design with ecosystem simulation models.
• Align design outputs with ecological performance indicators such as species richness and carbon sequestration.
• Prepare detailed technical documentation and contribute to model validation using empirical ecological data.

Key Goals and Outcomes

• Research and development of high-fidelity Geospatial AI models for the automated inference of ecosystem metrics across varied scales.
• Utilize inferred geospatial data to drive the computational synthesis and design of functional, resilient ecosystems.
• Establish a robust pipeline for integrating remote sensing and geospatial data into generative design workflows.
• Deliver scalable ML frameworks that provide real-time or near-real-time feedback on ecological performance (e.g., carbon sequestration and biodiversity).
• Develop innovative design methods that support and enhance ecological processes through data-driven optimization.

Required Experience

• Proven experience developing and deploying geospatial machine learning models, deep generative models, or RL algorithms in practical research problems.
• Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields.
• Demonstrated experience working in cross-functional teams bridging ML research with ecology, architecture, or design.

Preferred Experience

• Experience with GIS tools and remote sensing technologies for geospatial analysis.
• Prolific corpus of digital or physical expressions rooted in process-driven research and design.
• Industry experience combined with a background in leading research and producing striking work.

Technical Skills

• Commitment to Nature-centric principles and a willingness to integrate technology and ecology.
• Enthusiasm for pushing boundaries in design and science with innovative thinking.
• Self-directed with an aptitude for nurturing collaborative teamwork across disciplines.

Required Education & Certifications

• Ph.D. in a relevant field (CS, ML, OR).

Compensation Range: $142K - $235K

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Marketing & Operations | Headhunting Preconstruction & Project Management Professionals across the East Coast 🇺🇸

The Company: We are partnered with a Private Real Estate Development and Investment firm in South Boston founded over 20 years ago. They pride themselves on understanding and respecting the values of the neighborhoods that they redevelop within. This close-knit team

The Projects: They specialize in condominium and apartment buildings with a wide range of project sizes, but are continuously building their portfolio and expanding their assets.

The Role: We are looking for a Project Manager coming from a GC or Real Estate background with 3+ years experience, preferably one of the top 20 GC's.

What's in it for you?

Our client is offering a base salary up to $150,000 + benefits package for a Project Manager in Boston, MA with GC experience.

Base pay range

$120,000.00/yr - $150,000.00/yr

Seniority level

Associate

Employment type

Full-time

Job function

Project Management

Industries: Construction and Real Estate

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A medical technology company in California is seeking a Senior Electrical Systems Engineer to lead the development of innovative implantable devices. This full-time, on-site position requires hands-on experience in medical device technology and a strong background in electrical engineering. Candidates with over 5 years of relevant experience will find this role an exceptional opportunity for growth in a collaborative environment focused on improving patient outcomes.
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Leading and growing real estate developer based here in Miami is looking to add a Project Manager to their expanding team. This position will oversee full‑cycle commercial and multifamily projects from preliminary site evaluation through construction.

Responsibilities:

• Work with architects to develop plans
• Present project updates/details to local government officials
• Develop and manage a project schedule
• Conduct site testing and inspections
• Negotiate with general contractors
• Create and maintain budget
• Oversee entire project (development, construction, completion)

Requirements:

• 6+ years of development and project management experience
• Ability to oversee multiple ongoing projects

Base Pay:

$120,000.00/yr - $130,000.00/yr

Seniority level:

Associate

Employment type:

Full-time

Job function:

Project Management

Industries:

Construction, Leasing Non‑residential Real Estate, and Real Estate

Benefits:

• Medical insurance
• Vision insurance
• 401(k)

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A leading construction company in the Washington DC-Baltimore Area is seeking a Mid-Senior level individual to oversee day-to-day construction activities. Responsibilities include coordinating subcontractors and suppliers, ensuring compliance with project specifications and schedules, and managing site safety. The ideal candidate should have over 5 years of field experience, solid knowledge of construction methods, and strong problem-solving skills. This full-time role offers competitive compensation and comprehensive benefits including medical insurance and 401(k).
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A leading window covering company in Boston is seeking an In-Home Design Consultant to provide personalized design solutions for clients. You will meet customers in their homes, guiding them through the selection and installation process. This full-time role promises strong earning potential, averaging over $110K in the first year. Ideal candidates are skilled in consultative selling and value excellent client experiences. The company offers extensive support, benefits, and a unique culture that encourages growth and empowerment.
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A leading startup accelerator is seeking ambitious entrepreneurs to become Biotech Co-Founders. You will receive direct employment while building your startup, guided by serial entrepreneurs and offered funding support up to €500k. This role involves full responsibility for your startup's growth, extensive coaching, and access to a vast network for hiring talent and achieving product-market fit. Join us to scale your company to €1B+.
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Biotech Co-Founder / Head of Engineering (100 % remote) (m/f/d)

1 day ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies.

Our offer:

• A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
• 1:1 sparring with unicorn founders on a weekly basis
• Community : Access to the top 0.1% of founders, peers and investors
• Team building : Hiring top notch talent supported through our network (over 50,000 professionals)
• Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine
• Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

• You will own, build, and run your startup in fields such as Biotech
• You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
• You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
• You will receive intensive coaching to make your startup ready to raise millions in funding
• You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

• You are based in Europe or the Americas or open to relocate
• You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
• You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

Seniority level: Executive

Employment type: Contract

Job function: Other

Industries: Administrative and Support Services

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A fast-growing fintech company in Boston is seeking an Instructional Lead for Sales Talent & Development. In this role, you will design and deliver training programs to enhance the performance of our sales team. The ideal candidate has over three years of experience in sales training and strong skills in instructional design and facilitation. The position offers a competitive salary, performance-based bonuses, and comprehensive benefits. Join us to shape the future of our sales team.
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A leading engineering firm in the United States is looking for a mid-senior level Dimensional Engineer to own dimensional requirements from design to production launch. The ideal candidate will have a Bachelor's degree in Engineering and 7-8 years of experience in dimensional engineering or tolerance analysis. Responsibilities include supporting dimensional integration and leading root cause analysis. This contract role offers an opportunity to collaborate cross-functionally with design and manufacturing teams.
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Beverly Hills Aerials is dedicated to pushing the boundaries of aerial cinematography through innovation, efficiency, and unparalleled talent. We have revolutionized the use of drones in entertainment and live sports, enabling clients to capture breathtaking and groundbreaking visuals. As pioneers of "Cinematic FPV," our proprietary aircraft have been integral to iconic productions, including NASCAR on FOX’s “FOX Drone Cam,” the “NBC Drone” for the NHL, and numerous commercials, feature films, and television projects. Our groundbreaking work continues to redefine storytelling across the globe.

Role Description

This is an on‑site contract role based in the Los Angeles Metropolitan Area for a Drone Builder and Engineer Test Pilot. The role involves designing, building, and maintaining drones, conducting routine testing and troubleshooting, and piloting drones for various entertainment and cinematography projects. Additionally, the individual will collaborate with the team to innovate drone designs and ensure optimal performance for high‑quality aerial capture.

Qualifications

• Strong skills in drone design, assembly, and maintenance
• Experience with drone piloting and aeronautical engineering
• Proficiency in troubleshooting and problem‑solving mechanical and technical drone issues
• Experience with electronics, firmware, and programming as they relate to drone systems
• Knowledge of safety protocols and regulations for drone operation
• Effective communication and teamwork abilities

Seniority level

• Entry level

Employment type

• Contract

Job function

• General Business, Management, and Business Development

Industries

• Entertainment

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Get notified about new Builder jobs in Los Angeles Metropolitan Area .

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REPORTS TO: SR. MANAGER, THIN FILM MANUFACTURING ENGINEERING

SUMMARY

Under the direction of the Sr. Manager of Thin Film Manufacturing Engineering, the Thin Film Manufacturing Engineer is responsible for monitoring, sustaining, and supporting day-to-day thin film manufacturing processes, providing technical support to ensure process reliability, verifying process robustness through experimentation, improving deposition and/or dry etching efficiency, developing and implementing cost‑reducing practices, conducting root cause analysis, and improving production yields via process and tool optimization. This position is located in Milpitas, California.

ESSENTIAL FUNCTIONS

• Monitors, sustains, and supports day‑to‑day thin film manufacturing processes, programs, and activities.
• Ensures process reliability by providing technical support to operators, technicians, and other engineers.
• Improves the efficiency of deposition and/or dry etching processes by analyzing data, conducting experiments, and researching alternative methods to reduce scrap.
• Designs and conducts experiments to verify process robustness through characterization of process latitudes.
• Develops and implements practices or methodologies that lower cost, reduce cycle time, and improve operational efficiency.
• Conducts root cause analysis and implements corrective action when required.
• Responds to inquiries from other team members, managers, or departments.
• Uses Statistical Process Control (SPC) to analyze product quality data; develops charts or reports and presents findings to groups or teams.
• Adheres to all safety policies and procedures as required.
• Performs other duties of a similar nature or level.

MINIMUM QUALIFICATIONS

• Master’s degree in Chemistry, Chemical or Electrical Engineering, Materials Science, Physics, or equivalent relevant experience; PhD preferred.
• Three years of hands‑on experience in magnetic thin film fabrication or semiconductor industry manufacturing or process engineering.
• Hands‑on experience with SPC and Design of Experiments (DOE).
• Proficient in Microsoft Office applications.

KNOWLEDGE, SKILLS, AND ABILITIES

• Strong knowledge of magnetic thin film fabrication techniques using deposition and ion milling technologies.
• Knowledge and experience with TMR, CPP GMR, and spin‑transfer oscillator film processes.
• Knowledge of surface analytical/materials characterization techniques, including XRD, AFM, TEM, SEM, and FIB.
• Knowledge and experience of process development and integration.
• Knowledge and proficiency with JMP or Excel and ability to create macro formulas.
• Ability to create spreadsheets, Word documents, and presentations using Microsoft Office.
• Design experiments, analyze results, and recommend corrective action.
• Effective verbal and written communication with all levels of contractors, employees, and management.
• Collaborative work with employees and management at all levels.
• Compliance with all safety policies and procedures.
• Critical thinking to resolve issues, perform root cause analysis, and recommend process improvements.
• Demonstrated critical thinking and analytical skills.
• Demonstrated organizational and time‑management skills.
• Demonstrated problem‑solving and troubleshooting skills.
• Flexibility and ability to prioritize.

The annual base salary for this full‑time position is between $120,819.00‑$177,675.00, plus bonus target and benefits. The base pay may vary based on job responsibilities, related knowledge, skills, abilities, education, and experience. This range is subject to change and may be modified periodically.

WORKING CONDITIONS

The Thin Film Manufacturing Engineer works primarily in an office environment Monday through Friday. The schedule may change to meet business or operational needs and may require occasional travel between buildings. Work is performed in a Class 100 ESD‑sensitive wafer manufacturing facility, wearing a cleanroom suit (hood, gloves, safety glasses, booties, mask). Potential exposure to hazardous chemicals, fumes, gases, and loud noise, with requirements to stand, walk, bend, twist, perform fine grasping, and occasionally lift up to 30 pounds.

BENEFITS

• Medical insurance
• Vision insurance
• 401(k)
• Tuition assistance
• Disability insurance

TDK/Headway Technologies, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, or genetics. Applicants requiring accommodation should contact the Headway Human Resources Department.

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A leading memorial service provider located in Glendale, California, is seeking a Web & Digital Engineering Manager to oversee projects enhancing digital experiences. This role requires strong proficiency in Salesforce Experience Cloud and web development, managing teams for effective project execution and ensuring technical quality. Candidates should possess at least a Bachelor's degree in Computer Science and over 5 years of relevant experience. The position offers a competitive salary and a comprehensive benefits package, aiming to make a positive impact.
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Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you’ll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems
• Leverage LLMs to enhance content understanding

What we’re looking for:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• Degree in computer science, machine learning, statistics, or related field
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
• Nice to have:
  • Publications at top ML conferences
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product
  • Background in computational advertising

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

US based applicants only

$163,418 — $285,982 USD

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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